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Open-Vocabulary Segmentation (OVS) methods are capable of performing semantic segmentation without relying on a fixed vocabulary, and in some cases, without training or fine-tuning.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Semantic projection network for zero- and few-label semantic segmentation
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spaCy: Industrial-strength Natural Language Processing in Python, 2020
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Open-vocabulary semantic segmentation with mask-adapted clip
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, and Diana Marculescu · 2023
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Visual instruction tuning
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Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, and Xu Sun · 2023
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Zero-guidance segmentation using zero segment labels
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A comprehensive review on resolving ambiguities in natural language processing
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Fine-grained image captioning with clip reward
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Scaling open-vocabulary image segmentation with image-level labels
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Open-world semantic segmentation via contrasting and clustering vision-language embedding
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Open-vocabulary semantic segmentation with frozen vision-language models
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A simple framework for text-supervised semantic segmentation
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Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip
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Cat-seg: Cost aggregation for open-vocabulary semantic segmentation
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Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
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